Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing. - Eric Lyons 001; Anirban Mandal; George Papadimitriou 002; Cong Wang 014; Komal Thareja; Paul Ruth; Juan J. Villalobos; Ivan Rodero; Ewa Deelman; Michael Zink (eScience, 2019)

Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. - Karan Vahi; Michael Zink; Mats Rynge; George Papadimitriou 002; Duncan A. Brown; Rajiv Mayani; Rafael Ferreira da Silva; Ewa Deelman; Anirban Mandal; Eric Lyons 001 (eScience, 2019)

Training Classifiers to Identify TCP Signatures in Scientific Workflows. - George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman (INDIS@SC, 2019)

The Evolution of the Pegasus Workflow Management Software. - Ewa Deelman; Karan Vahi; Mats Rynge; Rajiv Mayani; Rafael Ferreira da Silva; George Papadimitriou 002; Miron Livny (Comput. Sci. Eng., 2019)

Measuring the impact of burst buffers on data-intensive scientific workflows. - Rafael Ferreira da Silva; Scott Callaghan; Tu Mai Anh Do; George Papadimitriou 002; Ewa Deelman (Future Gener. Comput. Syst., 2019)

An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. - Eric Lyons 001; David Westbrook; Andrew Grote; George Papadimitriou 002; Komal Thareja; Cong Wang 014; Michael Zink; Ewa Deelman; Anirban Mandal; Paul Ruth (DDDAS, 2020)

Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. - Cong Wang 014; George Papadimitriou 002; Mariam Kiran; Anirban Mandal; Ewa Deelman (HPEC, 2020)

Application Aware Software Defined Flows of Workflow Ensembles. - George Papadimitriou 002; Eric Lyons 001; Cong Wang 014; Komal Thareja; Ryan Tanaka; Paul Ruth; Juan J. Villalobos; Ivan Rodero; Ewa Deelman; Michael Zink; Anirban Mandal (INDIS@SC, 2020)

Workflow Submit Nodes as a Service on Leadership Class Systems. - George Papadimitriou 002; Karan Vahi; Jason Kincl; Valentine Anantharaj; Ewa Deelman; Jack C. Wells (PEARC, 2020)

Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. - Mariam Kiran; Cong Wang 014; George Papadimitriou 002; Anirban Mandal; Ewa Deelman (Mach. Learn., 2020)

Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. - Eric Lyons 001; Dong-Jun Seo; Sunghee Kim; Hamideh Habibi; George Papadimitriou 002; Ryan Tanaka; Ewa Deelman; Michael Zink; Anirban Mandal (e-Science, 2021)

Mining Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (MSR, 2021)

FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications. - Eric Lyons 001; Hakan Saplakoglu; Michael Zink; Komal Thareja; Anirban Mandal; Chengyi Qu; Songjie Wang; Prasad Calyam; George Papadimitriou 002; Ryan Tanaka; Ewa Deelman (UCC, 2021)

Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. - Henri Casanova; Ewa Deelman; Sandra Gesing; Michael D. Hildreth; Stephen Hudson; William Koch; Jeffrey Larson 001; Mary Ann McDowell; Natalie Meyers; John-Luke Navarro; George Papadimitriou 002; Ryan Tanaka; et al. (WORKS, 2021)

A Performance Characterization of Scientific Machine Learning Workflows. - Patrycja Krawczuk; George Papadimitriou 002; Ryan Tanaka; Tu Mai Anh Do; Srujana Subramanya; Shubham Nagarkar; Aditi Jain; Kelsie Lam; Anirban Mandal; Loïc Pottier; Ewa Deelman (WORKS, 2021)

Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. - Patrycja Krawczuk; George Papadimitriou 002; Shubham Nagarkar; Mariam Kiran; Anirban Mandal; Ewa Deelman (PEARC, 2021)

Mining Scientific Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (CoRR, 2021)

End-to-end online performance data capture and analysis for scientific workflows. - George Papadimitriou 002; Cong Wang 014; Karan Vahi; Rafael Ferreira da Silva; Anirban Mandal; Zhengchun Liu; Rajiv Mayani; Mats Rynge; Mariam Kiran; Vickie E. Lynch; Rajkumar Kettimuthu; Ewa Deelman; et al. (Future Gener. Comput. Syst., 2021)

Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. - Ryan Tanaka; George Papadimitriou 002; Sai Charan Viswanath; Cong Wang 014; Eric Lyons 001; Komal Thareja; Chengyi Qu; Alicia Esquivel Morel; Ewa Deelman; Anirban Mandal; Prasad Calyam; Michael Zink (CCGRID, 2022)

Workflow Anomaly Detection with Graph Neural Networks. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Patrycja Krawczuk; Loïc Pottier; Mariam Kiran; Ewa Deelman; Prasanna Balaprakash (WORKS@SC, 2022)

Fair sharing of network resources among workflow ensembles. - George Papadimitriou 002; Eric Lyons 001; Cong Wang 014; Komal Thareja; Ryan Tanaka; Paul Ruth; Ivan Rodero; Ewa Deelman; Michael Zink; Anirban Mandal (Clust. Comput., 2022)

FlyPaw: Optimized Route Planning for Scientific UAVMissions. - Andrew Grote; Eric Lyons 001; Komal Thareja; George Papadimitriou 002; Ewa Deelman; Anirban Mandal; Prasad Calyam; Michael Zink (e-Science, 2023)

Network Services Management using Programmable Data Planes for Visual Cloud Computing. - Alicia Esquivel Morel; Prasad Calyam; Chengyi Qu; Durbek Gafurov; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (ICNC, 2023)

Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. - Alicia Esquivel Morel; Durbek Gafurov; Prasad Calyam; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (INFOCOM Workshops, 2023)

Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. - Imtiaz Mahmud; George Papadimitriou 002; Cong Wang 014; Mariam Kiran; Anirban Mandal; Ewa Deelman (SC Workshops, 2023)

Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. - George Papadimitriou 002; Hongwei Jin; Cong Wang 014; Krishnan Raghavan; Anirban Mandal; Prasanna Balaprakash; Ewa Deelman (CoRR, 2023)

Self-supervised Learning for Anomaly Detection in Computational Workflows. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Ewa Deelman; Prasanna Balaprakash (CoRR, 2023)

FlyNet: Drones on the Horizon. - Alicia Esquivel Morel; Chengyi Qu; Prasad Calyam; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (IEEE Internet Comput., 2023)

Graph neural networks for detecting anomalies in scientific workflows. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Mariam Kiran; Ewa Deelman; Prasanna Balaprakash (Int. J. High Perform. Comput. Appl., 2023)

A Workflow Management System Approach To Federated Learning: Application to Industry 4.0. - Hamza Safri; George Papadimitriou 002; Frédéric Desprez; Ewa Deelman (DCOSS-IoT, 2024)

Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning. - Hamza Safri; George Papadimitriou 002; Ewa Deelman (e-Science, 2024)

Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. - Hongwei Jin; George Papadimitriou 002; Krishnan Raghavan; Pawel Zuk; Prasanna Balaprakash; Cong Wang 014; Anirban Mandal; Ewa Deelman (SC, 2024)

Advancing anomaly detection in computational workflows with active learning. - Krishnan Raghavan; George Papadimitriou 002; Hongwei Jin; Anirban Mandal; Mariam Kiran; Prasanna Balaprakash; Ewa Deelman (Future Gener. Comput. Syst., 2025)